Results 171 to 180 of about 1,573 (208)

Electronic Implementation of Biologically Inspired Neuromorphic Vision Sensor

2008 Second Asia International Conference on Modelling & Simulation (AMS), 2008
Neuromophic vision sensor is an electronic implementation of vision algorithm on semiconductor. Neuromophic systems are biologically inspired artificial neural systems that mimic algorithmic behavior of biological systems. The focus of this paper is to highlight photo transduction operation and conversion of optical information into the neuronal signal
Dheerendra Singh Gangwar, Tarun Tiwari, Baldev Singh   +2 more
openaire   +2 more sources

Neuromorphic vision: From sensors to event‐based algorithms

WIREs Data Mining and Knowledge Discovery, 2019
Regardless of the marvels brought by the conventional frame‐based cameras, they have significant drawbacks due to their redundancy in data and temporal latency. This causes problem in applications where low‐latency transmission and high‐speed processing are mandatory.
Lakshmi, Annamalai, Chakraborty, Anirban, Thakur, Chetan S   +2 more
openaire   +3 more sources

Neuromorphic vision sensors and preprocessors in system applications

SPIE Proceedings, 1998
A partial review of neuromorphic vision sensors that are suitable for use in autonomous systems is presented. Interfaces are being developed to multiplex the high- dimensional output signals of arrays of such sensors and to communicate them in standard formats to off-chip devices for higher-level processing, actuation, storage and display ...
Joerg Kramer, Giacomo Indiveri
openaire   +1 more source

Real-time robot tracking and following with neuromorphic vision sensor

2016 6th IEEE International Conference on Biomedical Robotics and Biomechatronics (BioRob), 2016
In this paper, we consider the problem of robotic motion tracking and following with neuromorphic vision sensors. We formulate the problem in a leader-follower paradigm. The objective of the follower robot is to perform real-time motion segmentation of a scene and follow the leader robot.
Abhishek Mishra, Rohan Ghosh, Ashish Goyal, Nitish V. Thakor, Sunil L. Kukreja   +4 more
openaire   +1 more source

Efficient high speed signal estimation with neuromorphic vision sensors

2015 International Conference on Event-based Control, Communication, and Signal Processing (EBCCSP), 2015
Recently developed neuromorphic vision sensors present a high speed, event-based alternative to conventional vision in robotic systems. We present a method for the design of simple, low computation estimators that take advantage of the remarkable properties of these sensors to provide low latency, high bandwidth sensing for feedback control of fast ...
Erich Mueller, Andrea Censi, Emilio Frazzoli   +2 more
openaire   +2 more sources

Recent Advances in Imaging Devices: Image Sensors and Neuromorphic Vision Sensors

Rare Metals
Abstract Remarkable developments in image recognition technology trigger demands for more advanced imaging devices. In recent years, traditional image sensors, as the go‐to imaging devices, have made substantial progress in their optoelectronic characteristics and functionality. Moreover, a new breed of imaging device with information
Caofeng Pan, Su-Ting Han
exaly   +2 more sources

Optoelectronic resistive random access memory for neuromorphic vision sensors

Nature Nanotechnology, 2019
Neuromorphic visual systems have considerable potential to emulate basic functions of the human visual system even beyond the visible light region. However, the complex circuitry of artificial visual systems based on conventional image sensors, memory and processing units presents serious challenges in terms of device integration and power consumption.
Feichi Zhou, Zheng Zhou, Jiewei Chen, Tsz Hin Choy, Jingli Wang, Ning Zhang, Ziyuan Lin, Shimeng Yu, Jinfeng Kang, H.-S. Philip Wong, Yang Chai   +10 more
openaire   +2 more sources

Applying Neuromorphic Vision Sensors to Planetary Landing Tasks [PDF]

2009 IEEE Biomedical Circuits and Systems Conference, 2009
Recently there has been an increasing interest in application of bio-mimetic controller s and neuromorphic vision sensor s to planetary landing tasks. Within this context, we present combined low-level (SPICE) and high-level (behavioral) simulations of a novel neuromorphic VLSI vision sensor in a realistic planetary landing scenar io.
Garrick Orchard, Giacomo Indiveri, Chiara Bartolozzi   +2 more
exaly   +2 more sources

Low-Latency Machine Vision Based on a Neuromorphic Vision Sensor

Electronics
Low-latency visual perception is essential for interactive machine vision on edge AI devices, but conventional frame-based image sensors impose frame period delays and generate dense image data that increase memory bandwidth and processing latency. Although Dynamic Vision Sensors (DVSs) are known to provide low latency, sparse output, and high dynamic ...
Paul K. J. Park, Junseok Kim, Juhyun Ko, Yeoungjin Chang   +3 more
exaly   +2 more sources

Optical Wireless Camera Communications using Neuromorphic Vision Sensors

2019 IEEE International Conference on Communications Workshops (ICC Workshops), 2019
Camera Communications (CamCom) is the transmission of data using modulated lights acting as transmitters and a digital camera acting as a receiver. We propose a novel high speed CamCom system using Neuromorphic Vision Sensor (NVS) cameras. We present novel algorithms for detection and demodulation of modulated light sources.
Javier Perez-Ramirez, Richard D. Roberts, Ankit P. Navik, Nagarajan Muralidharan, Hassnaa Moustafa   +4 more
openaire   +2 more sources